What is the Ambulatory Glucose Profile (AGP)?

The AGP is a standardized one-page report that summarizes continuous glucose monitoring data. It overlays multiple days of readings onto a single 24-hour graph and presents key metrics such as average glucose, Glucose Management Indicator, Time in Range, and variability in a consistent layout.

Why does the AGP overlay several days onto one chart?

Overlaying many days reveals patterns that repeat by time of day, such as a recurring after-lunch rise, which would be hard to see when scrolling through individual daily traces. The median line and percentile bands summarize both the typical level and the variability at each hour.

Does the AGP replace HbA1c or a diagnosis?

No. The AGP is a review tool that adds daily context to standard testing. It does not by itself diagnose diabetes or set a treatment plan. A qualified clinician interprets it alongside your history and confirmatory tests, and software such as Endobits supports that review as clinical decision support.

CGM · reporting

The Ambulatory Glucose Profile (AGP), Explained

6 min read · Updated July 2026

A continuous glucose monitor can generate hundreds of readings a day, which quickly becomes unwieldy to review one day at a time. The Ambulatory Glucose Profile, or AGP, is the standardized one-page report that solves that problem — condensing one to two weeks of data into a consistent layout that clinicians can read the same way regardless of which sensor produced it.

What the AGP is

The AGP is a report format, not a device. It was developed as a common way to present CGM data so that the same summary looks familiar whether the readings come from one manufacturer or another. If you're still getting oriented to glucose monitoring generally, the CGM guide is the place to start, and how CGM works covers what the sensor actually measures. The AGP sits on top of all that: it takes the raw stream and organizes it into a page most clinicians can interpret in under a minute.

A standardized layout matters more than it might sound. When every report shares the same structure, a clinician doesn't have to relearn the display for each patient or product, and comparisons over time become more reliable. For a broader glossary of the terms that appear on the page, our glossary may help.

How overlaying multiple days works

The visual heart of the AGP is a single 24-hour chart that stacks many days on top of one another. Imagine printing each day's glucose trace on a transparent sheet and laying all of them over the same midnight-to-midnight axis. Where the daily lines cluster tightly, the composite is narrow; where they scatter, it's wide.

From that stack, the report draws a median line — the middle value at each moment of the day — surrounded by shaded percentile bands that show how far readings spread above and below. The result is that recurring, time-of-day patterns jump out. A rise that happens after lunch on most days becomes a visible bulge, even though no single day's trace would make it obvious. Learning to read CGM data in this form is largely about reading those shapes.

Faint lines are individual days; the bold line is the median across all of them, with the shaded band showing the spread. Overlaying makes repeating patterns visible.

The key elements

Beyond the overlaid chart, an AGP report gathers a small set of summary metrics. The most common are:

Average glucose and GMI — the mean reading, often accompanied by a Glucose Management Indicator, an estimate derived from CGM averages that is intended to be considered alongside, not as a substitute for, a laboratory HbA1c.
Time in Range — the share of readings within, below, and above a target band, usually shown as a stacked bar. Our page on Time in Range explains why this often adds information an average alone cannot.
Glucose variability — a measure of how much glucose swings, commonly reported as a coefficient of variation. Lower variability generally reflects steadier control, though appropriate targets are a clinical matter.
The median curve and bands — the overlaid daily profile described above, which ties the numbers back to time of day.

Data sufficiency also appears on most reports — for example, how many days the sensor was worn and what percentage of possible readings were captured. Sparse data makes any summary less reliable, which is a useful caveat to keep in mind when interpreting the page.

Why it standardizes CGM review

The value of the AGP is consistency. Because the layout and metrics are defined the same way across devices, it reduces the friction of comparing one review with the next and helps different clinicians speak a common language about the same data. Consensus recommendations in the diabetes field have encouraged this kind of standardized reporting precisely so that CGM data can be interpreted reliably rather than idiosyncratically.

That said, the AGP is a lens, not a judgment. It organizes information so a clinician can interpret it well; it does not replace clinical reasoning, your history, or confirmatory testing. Endobits uses standardized CGM data of this kind as clinical decision support — helping clinicians review patterns under their oversight, never producing a diagnosis or treatment decision on its own.

Curious what your AGP would show?

See how a week of continuous glucose readings turns into a single, readable profile — and what its shape might suggest.

Check your glucose

Sources

Battelino T. et al., "Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range," Diabetes Care (2019), on standardized CGM metrics and the AGP. American Diabetes Association, diabetes.org, on CGM use and glucose targets. National Institute of Diabetes and Digestive and Kidney Diseases, niddk.nih.gov, on continuous glucose monitoring.

This article is educational and not medical advice. Talk to a qualified healthcare provider about your health. Endobits is clinical decision-support software, not a diagnostic device.